scholarly journals The impact of Covid‐19 on innovation policies promoting Open Innovation

2021 ◽  
Author(s):  
Andrea S. Patrucco ◽  
Daniel Trabucchi ◽  
Federico Frattini ◽  
Jane Lynch
Keyword(s):  
Open Innovation ◽  
The Impact ◽  
Innovation Policies

scholarly journals Do the Green Credit Guidelines Affect Corporate Green Technology Innovation? Empirical Research from China

2021 ◽  
Vol 18 (4) ◽  
pp. 1682
Author(s):  
Min Hong ◽  
Zhenghui Li ◽  
Benjamin Drakeford
Keyword(s):  
Technology Innovation ◽  
Green Technology ◽  
Debt Financing ◽  
Financing Constraints ◽  
Difference Model ◽  
Financing Constraint ◽  
Important Means ◽  
Regulatory Commission ◽  
The Impact ◽  
Innovation Policies

Green technology innovation is regarded as an important means to achieve sustainable development. Countries all over the world mainly implement green technology innovation policies from the aspects of environmental regulation and financing constraints. The effect of financing constraint policy on enterprise green technology innovation remains to be investigated. Based on the event of “green credit guidelines” issued by China Banking Regulatory Commission in 2012, this paper collects the panel data of China’s 2825 listed companies from 2007 to 2018, constructs a difference-in-difference model, and studies the impact of green credit guidelines on corporate green technology innovation and its mechanism. The empirical results show: First, green credit guidelines can promote corporate green technology innovation on the whole. Second, the mechanism of green credit on enterprise green technology innovation is identified. Green credit guidelines mainly limited green technology innovation through reducing debt financing, rather than through financing constraints. Third, the impact of green credit guidelines on green technology innovation is heterogeneous. Green credit guidelines have a significant effect on the green technology innovation of state-owned and large enterprises, but have no effect on the green technology innovation of non-state-owned and small ones.

scholarly journals Two Sides of the Same Coin. University-Industry Collaboration and Open Innovation as Enhancers of Firm Performance

2021 ◽  
Vol 13 (7) ◽  
pp. 3866
Author(s):  
Joana Costa ◽  
Ana Rita Neves ◽  
João Reis
Keyword(s):  
Firm Performance ◽  
Open Innovation ◽  
Primary Data ◽  
Company Performance ◽  
Innovation Ecosystem ◽  
Industry Collaboration ◽  
And Performance ◽  
Performance Results ◽  
The Impact ◽  
University Industry

Open innovation is proved to be determinant in the rationalization of sustainable innovation ecosystems. Firms, universities, governments, user communities and the overall environment are called to contribute to this dynamic process. This study aims to contribute to a better understanding of the impact of open innovation on firms’ performance and to empirically assess whether university-industry collaborations are complementary or substitutes for this activity. Primary data were collected from a survey encompassing 908 firms, and then combined with performance indicators from SABI (Spanish and Portuguese business information). Econometric estimations were run to evaluate the role of open innovation and university-industry collaboration in the firm innovative propensity and performance. Results highlight the importance of diversity in collaborations with the academia and inbound open innovation strategy as enhancers of firm performance. The two activities reinforce each other. By testing the impact of open innovation practices on company performance, the need for heterogeneity in terms of contact type and university is also demonstrated. Findings cast light on the need to reformulate existing policy packages, reinforcing the ties with academia as well as the promotion of open innovation strategies. The connection to the innovation ecosystem needs to be further encouraged as well as the promotion of persistent connections with the knowledge sources in an open and multilateral framework.

Investigating Determinants of Industry–University Collaboration in an Open Innovation Context: Comparative Evidence from an Exploratory Study

2021 ◽  
pp. 097172182110204
Author(s):  
Calin Florin Baban ◽  
Marius Baban ◽  
Adalberto Rangone
Keyword(s):  
Artificial Intelligence ◽  
Fuzzy Logic ◽  
Open Innovation ◽  
Exploratory Study ◽  
Correlation Matrices ◽  
Related Literature ◽  
Industrial Areas ◽  
The Impact ◽  
Intelligence Approach ◽  
Artificial Intelligence Approach

In an open innovation (OI) paradigm, universities are considered as important sources of external scientific knowledge for industry, and comparative study of such collaboration can result in more effective and efficient employment of OI. Within this framework, this study explores how the determinants of collaboration between industry and universities in an open context of innovation are addressed by firms within industrial areas. For this purpose, a conceptual framework of industry–university determinants in an open context of innovation is developed from the related literature. Taking into consideration the determinants integrated into the framework, this study compares motives, barriers, channels of knowledge transfer, benefits and drawbacks of such collaboration in two Italian and Romanian industrial areas. Comparative differences in each OI determinant between the firms from the two Italian and Romanian industrial areas are analysed. The associations among the study determinants are also investigated based on correlation matrices among the five determinants in both Italian and Romanian firms. An artificial intelligence approach based on fuzzy logic was developed to predict the impact of the study determinants on the perception of universities as a source for OI activities of firms.

scholarly journals How Intellectual Property Management Capability and Network Strategy Affect Open Technological Innovation in the Korean New Information Communications Technology Industry

2018 ◽  
Vol 10 (8) ◽  
pp. 2600 ◽  
Author(s):  
So Kim ◽  
Eungdo Kim
Keyword(s):  
Intellectual Property ◽  
Technological Innovation ◽  
Open Innovation ◽  
Communications Technology ◽  
Management Capability ◽  
New Information ◽  
Cooperation Network ◽  
Ict Industry ◽  
The Impact ◽  
Ip Management

This paper analyses factors in open innovation activity in the Korean new information and communications technology (ICT) industry, with a focus on cooperation network strategy and intellectual property (IP) management capability, by applying multiple regression models with data collected from 300 companies within the industry. The results of this analysis suggested that the intensity and variation of a company’s technological cooperation with a new ICT company has a statistically meaningful impact on its innovation. In particular, the impact depended on the type of cooperation network. Though IP management capability was also shown to have an important influence on a new ICT company’s innovation, the impact of specific actions for IP management varied by the specific type of innovation results. This study suggests that new ICT companies need to construct technological innovation networks using multiple external sources and enhance their IP management capability in order to increase their technological innovation performance. The factors influencing technological innovation are elements of open innovation, indicating the open technological innovativeness of the new ICT Industry.

scholarly journals Measuring the Impact of Technological Innovations on Industrial Products through a Multilayer Network Approach

2018 ◽  
Author(s):  
Martina Formichini ◽  
Giulio Cimini ◽  
Emanuele Pugliese ◽  
Andrea Gabrielli
Keyword(s):  
Synthetic Data ◽  
Technological Innovations ◽  
Network Approach ◽  
Multilayer Network ◽  
Policy Makers ◽  
Trade Data ◽  
Country Level ◽  
The Impact ◽  
Robust Evidence ◽  
Innovation Policies

In this work we identify combinations of technological activities that signal the presence local capabilities in a country to successfully export a product. We use country-level patent and trade data to generate a multi-layer network, and we apply maximization of entropy to generate synthetic data to effectively divide signal from noise. We show that in several sectors the signal far exceed the noise. Our exercise provides robust evidence of the presence of synergies between technologies to explain trade performances in specific markets. This can be highly useful for policy makers, to inform industrial and innovation policies.

Measuring the impact of relational capital on customer performance in the SME B2B sector

2017 ◽  
Vol 23 (6) ◽  
pp. 1144-1166 ◽  
Author(s):  
Lara Agostini ◽  
Anna Nosella ◽  
Benedetta Soranzo
Keyword(s):  
Absorptive Capacity ◽  
Open Innovation ◽  
Moderating Effect ◽  
High Tech ◽  
Relational Capital ◽  
Marketing Capability ◽  
Content Type ◽  
Innovation Practices ◽  
External Actors ◽  
The Impact

Purpose The purpose of this paper is to investigate the influence that different components of relational capital (marketing capability, open innovation with business and scientific partners, technological reputation, brand) have on customer performance (CP). Moreover, the moderating effect of absorptive capacity on such relationships is tested. Design/methodology/approach First, the direct relationship between the different components of relational capital and CP is analyzed through a linear regression model. Then, to test the moderating effect, two distinct regression analyses are conducted into two sub-samples, defined according to the level of absorptive capacity. The authors carried out these analyses on a sample of 150 small- and medium-sized enterprises (SMEs) in the medium- and high-tech B2B context. Findings Results of this study prove that CP is enhanced through firm marketing capability, open innovation with business partners and technological reputation, while brand and open innovation with scientific partner do not have an association with CP. In particular, the impact of marketing capability and open innovation with business actors on CP is greater for firms with higher absorptive capacity. Research limitations/implications This paper, highlighting the relevance of relational capital and absorptive capacity in improving CP, enhances our knowledge about the factors that help to strengthen the relationships with customers, which is an under-investigated issue especially for SMEs competing in B2B industries, and extends our knowledge on open innovation practices. Practical implications Findings of this paper suggest that, to achieve better CP, managers should pay special attention to nurturing their marketing capability and high-quality relationships with external actors and invest in absorptive capacity to enhance the positive effect of such linkages. Originality/value This work, combining the external perspective of relational capital and the internal organizational dimension of absorptive capacity, provides valuable insights about the knowledge and resource mix that firms might rely on to achieve better customer satisfaction and loyalty.

COVID-19 and the Hospitality Industry

2022 ◽  
pp. 46-60
Author(s):  
Misra Cagla Gul ◽  
Zehra Bilgen Susanli
Keyword(s):  
Open Innovation ◽  
Public Health Policy ◽  
Hospitality Industry ◽  
Food Service ◽  
Security Measures ◽  
Health Security ◽  
Corporate Advertising ◽  
Policy Measures ◽  
Service Businesses ◽  
The Impact

The ongoing coronavirus (COVID-19) pandemic and the ensuing public health policy measures to contain its spread have inevitably had profound effects on businesses throughout the world. While the pandemic has impacted every industry in all countries, hospitality is clearly the worst hit. This chapter explores the impact of the pandemic on the hospitality industry by focusing on accommodation and food service businesses in Turkey. By looking at government policies and changes in business activities in these sectors in response to the crisis, the authors discuss the measures policymakers and firms can take to mitigate the devastating impacts of the pandemic. Findings suggest that focusing on creating novel products and processes, collaboration and open innovation, informational and corporate advertising, as well as investment in quality and health security measures and trust building via communication are effective in moving forward with the new normal.

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